Alessandra Caggiano, Xavier Rimpault, Roberto Teti, Marek Balazinski, Jean-François Chatelain and Luigi Nele
Article (2018)
An external link is available for this itemDepartment: | Department of Mechanical Engineering |
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PolyPublie URL: | https://publications.polymtl.ca/39604/ |
Journal Title: | CIRP Annals (vol. 67, no. 1) |
Publisher: | Elsevier |
DOI: | 10.1016/j.cirp.2018.04.035 |
Official URL: | https://doi.org/10.1016/j.cirp.2018.04.035 |
Date Deposited: | 18 Apr 2023 15:03 |
Last Modified: | 25 Sep 2024 16:24 |
Cite in APA 7: | Caggiano, A., Rimpault, X., Teti, R., Balazinski, M., Chatelain, J.-F., & Nele, L. (2018). Machine learning approach based on fractal analysis for optimal tool life exploitation in CFRP composite drilling for aeronautical assembly. CIRP Annals, 67(1), 483-486. https://doi.org/10.1016/j.cirp.2018.04.035 |
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